| Funding Opportunity ID: |
325307 |
| Opportunity Number: |
20-556 |
| Opportunity Title: |
Multimodal Sensor Systems for Precision Health Enabled by Data Harnessing, Artificial Intelligence, and Learning |
| Opportunity Category: |
Discretionary |
| Opportunity Category Explanation: |
|
| Funding Instrument Type: |
Grant |
| Category of Funding Activity: |
Science and Technology and other Research and Development |
| Category Explanation: |
|
| CFDA Number(s): |
47.041
47.049
47.070 |
| Eligible Applicants: |
Others (see text field entitled “Additional Information on Eligibility” for clarification) |
| Additional Information on Eligibility: |
*Who May Submit Proposals: Proposals may only be submitted by the following: -Institutions of Higher Education (IHEs) – Two- and four-year IHEs (including community colleges) accredited in, and having a campus located in the US, acting on behalf of their faculty members.Special Instructions for International Branch Campuses of US IHEs: If the proposal includes funding to be provided to an international branch campus of a US institution of higher education (including through use of subawards and consultant arrangements), the proposer must explain the benefit(s) to the project of performance at the international branch campus, and justify why the project activities cannot be performed at the US campus. *Who May Serve as PI: The Principal Investigator (PI) must be at the faculty level as determined by the submitting organization. A minimum of one PI and one co-PI must participate. |
| Agency Code: |
NSF |
| Agency Name: |
National Science Foundation |
| Posted Date: |
Mar 12, 2020 |
| Close Date: |
Jun 08, 2020 |
| Last Updated Date: |
Mar 12, 2020 |
| Award Ceiling: |
$0 |
| Award Floor: |
$750,000 |
| Estimated Total Program Funding: |
$6,500,000 |
| Expected Number of Awards: |
10 |
| Description: |
The National Science Foundation (NSF) through its Divisions of Electrical, Communications and Cyber Systems (ECCS); Chemical, Bioengineering, Environmental and Transport Systems (CBET); Civil, Mechanical and Manufacturing Innovation (CMMI); Information and Intelligent Systems (IIS); and Mathematical Sciences (DMS) announces a solicitation on Multimodal Sensor Systems for Precision Health enabled by Data Harnessing, Artificial Intelligence (AI), and Learning. Next-generation multimodal sensor systems for precision health integrated with AI, machine learning (ML), and mathematical and statistical (MS) methods for learning can be envisioned for harnessing a large volume of diverse data in real time with high accuracy, sensitivity and selectivity, and for building predictive models to enable more precise diagnosis and individualized treatments. It is expected that these multimodal sensor systems will have the potential to identify with high confidence combinations of biomarkers, including kinematic and kinetic indicators associated with specific disease and disability. This focused solicitation seeks high-risk/high-return interdisciplinary research on novel concepts, innovative methodologies, theory, algorithms, and enabling technologies that will address the fundamental scientific issues and technological challenges associated with precision health. |
| Version: |
1 |
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